203.6.8 Digit Recognition using SVM

LAB: Digit Recognition using SVM

Take an image of a handwritten single digit, and determine what that digit is.

Normalized handwritten digits, automatically scanned from envelopes by the U.S. Postal Service. The original scanned digits are binary and of different sizes and orientations; the images here have been de slanted and size normalized, resultingin 16 x 16 grayscale images (Le Cun et al., 1990).

The data are in two zipped files, and each line consists of the digitid (0-9) followed by the 256 grayscale values.

Build an SVM model that can be used as the digit recognizer

Use the test dataset to validate the true classification power of the model